Future groundwater potential mapping using machine learning algorithms and climate change scenarios in Bangladesh
Scientific Reports,
Год журнала:
2024,
Номер
14(1)
Опубликована: Май 6, 2024
Abstract
The
aim
of
the
study
was
to
estimate
future
groundwater
potential
zones
based
on
machine
learning
algorithms
and
climate
change
scenarios.
Fourteen
parameters
(i.e.,
curvature,
drainage
density,
slope,
roughness,
rainfall,
temperature,
relative
humidity,
lineament
land
use
cover,
general
soil
types,
geology,
geomorphology,
topographic
position
index
(TPI),
wetness
(TWI))
were
used
in
developing
algorithms.
Three
artificial
neural
network
(ANN),
logistic
model
tree
(LMT),
regression
(LR))
applied
identify
zones.
best-fit
selected
ROC
curve.
Representative
concentration
pathways
(RCP)
2.5,
4.5,
6.0,
8.5
scenarios
precipitation
for
modeling
change.
Finally,
identified
2025,
2030,
2035,
2040
best
RCP
models.
According
findings,
ANN
shows
better
accuracy
than
other
two
models
(AUC:
0.875).
predicted
that
23.10
percent
very
high
zones,
whereas
33.50
extremely
forecasts
values
under
different
(RCP2.6,
RCP4.5,
RCP6,
RCP8.5)
using
an
spatial
distribution
maps
each
scenario.
sixteen
generated
Government
officials
may
utilize
study’s
results
inform
evidence-based
choices
water
management
planning
at
national
level.
Язык: Английский
Spatial Mapping and Prediction of Groundwater Quality Using Ensemble Learning Models and SHapley Additive exPlanations with Spatial Uncertainty Analysis
Water,
Год журнала:
2024,
Номер
16(17), С. 2375 - 2375
Опубликована: Авг. 24, 2024
The
spatial
mapping
and
prediction
of
groundwater
quality
(GWQ)
is
important
for
sustainable
management,
but
several
research
gaps
remain
unexplored,
including
the
inaccuracy
interpolation,
limited
consideration
geological
environment
human
activity
effects,
limitation
to
specific
pollutants,
unsystematic
indicator
selection.
This
study
utilized
entropy-weighted
water
index
(EWQI),
LightGBM
model,
pressure-state-response
(PSR)
framework
SHapley
Additive
exPlanations
(SHAP)
analysis
address
above
gaps.
normalized
importance
(NI)
shows
that
NO3−
(0.208),
Mg2+
(0.143),
SO42−
(0.110),
Cr6+
(0.109)
Na+
(0.095)
should
be
prioritized
as
parameters
remediation,
skewness
EWQI
distribution
indicates
although
most
sampled
locations
have
acceptable
GWQ,
a
few
areas
suffer
from
severely
poor
GWQ.
PSR
identifies
13
indicators
environments
activities
SMP
Despite
high
AUROCs
(0.9074,
0.8981,
0.8885,
0.9043)
across
four
random
training
testing
sets,
it
was
surprising
significant
uncertainty
observed,
with
Pearson
correlation
coefficients
(PCCs)
0.5365
0.8066.
We
addressed
this
issue
by
using
spatial-grid
average
probabilities
maps.
Additionally,
population
nighttime
light
are
key
indicators,
while
net
recharge,
land
use
cover
(LULC),
degree
urbanization
lowest
importance.
SHAP
highlights
both
positive
negative
impacts
on
identifying
point-source
pollution
main
cause
GWQ
in
area.
Due
field,
future
studies
focus
six
aspects:
multi-method
assessment,
quantitative
relationships
between
comparisons
various
models,
application
selection,
development
methods
reduce
uncertainty,
explainable
machine
learning
techniques
management.
Язык: Английский
Unleashing the Untapped Potential: Groundwater Exploration in a Watershed Environment of North‐East India Using MCDA‐AHP Techniques
Hydrological Processes,
Год журнала:
2025,
Номер
39(1)
Опубликована: Янв. 1, 2025
ABSTRACT
The
contemporary
era
is
marked
by
the
faster
exploitation
of
groundwater
resources
due
to
combined
effects
burgeoning
population
and
rapid
industrialisation.
This
study
tries
delineate
potential
zones
(GWPZs)
in
a
fragile
agriculturally
dominant
watershed
North‐East
India
using
GIS‐based
multi‐criteria
decision
analysis
(MCDA)
approach
Analytical
Hierarchy
Process
(AHP)
technique.
has
undertaken
10
influencing
factors:
geomorphology,
geology,
land
use/land
cover
(LU/LC),
drainage
density,
rainfall,
soil
texture,
slope,
lineament
topographic
wetness
index
(TWI)
normalised
difference
water
(NDWI).
Suitable
weights
for
parameters
are
assigned
according
their
relative
importance
association
with
storage
based
on
pairwise
comparison
matrix
(PCM).
Four
GWPZs
respective
coverages
namely
poor
(3.39%),
moderate
(24.98%),
good
(33.36%)
excellent
(38.27%)
categories
found.
central
southern
parts
area
covering
portion
Udalguri,
Sonitpur
Darrang
districts
Assam
have
porous
geological
settings
floodplains,
indicating
high
potentiality.
In
contrast,
northern
part
hard
rugged
terrain
lacks
storage.
Incorporating
socio‐economic
aspect,
particularly
number
villages
or
without
access
suitable
groundwater,
significantly
enhances
study's
utility.
outcome
cross‐verified
well
data
obtained
from
Central
Groundwater
Board
(CGWB)
field
which
validated
receiver
operating
characteristics
(ROC)
curve
resulting
an
accuracy
72.9%.
Hence,
this
inquiry
implications
both
regional
global
significance
will
assist
stakeholders
authorities
creating
roadmap
sustainable
effective
use.
Язык: Английский
Machine learning and CORDEX-Africa regional model for assessing the impact of climate change on the Gilgel Gibe Watershed, Ethiopia
Journal of Environmental Management,
Год журнала:
2024,
Номер
363, С. 121394 - 121394
Опубликована: Июнь 9, 2024
Язык: Английский
Literature review on optimization of transboundary water for irrigation
Water Science & Technology Water Supply,
Год журнала:
2024,
Номер
24(12), С. 3979 - 4008
Опубликована: Ноя. 11, 2024
ABSTRACT
Transboundary
water
resources
are
essential
for
agricultural
sustainability
and
regional
development,
they
intrinsically
linked
to
achieving
the
United
Nations'
SDGs
water-food-energy
nexus
(WFE-NEXUS)
concept.
Despite
challenges
such
as
conflicting
allocation
climate
change
impacts,
effective
transboundary
management
irrigation
is
crucial
meeting
of
eradicating
hunger,
providing
clean
sanitation,
offering
affordable
sustainable
energy,
taking
action.
This
work
synthesizes
approaches
optimization,
highlighting
significance
a
holistic
plan
that
considers
both
technical
social
factors.
Remote-sensing
technologies,
data
forecasting,
hydrology
hydraulic
modelling,
resource
modelling
all
contribute
maximize
policy
creation,
particularly
when
paired
with
collaborative
government
features.
integrated
approach
optimization
fosters
long-term
development
by
improving
livelihoods,
resilience,
inclusive
growth
through
efficient
management.
Язык: Английский